Michele Telegrafo

A Supervised Breast Lesion Images Classification from Tomosynthesis Technique

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2017, ICIC.

A new computer-aided decision (CAD) system based on artificial neural networks for detecting breast lesions on MRI

Michele Telegrafo, Bevilacqua, S De Ceglie, 2017 .

An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification

Vitoantonio Bevilacqua, Antonio Brunetti, Michele Telegrafo, 2016, GECCO.

Computer Assisted Detection of Breast Lesions in Magnetic Resonance Images

Vitoantonio Bevilacqua, Giuseppe Bellantuono, Leonarda Carnimeo, 2016, ICIC.

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2019, Cognitive Systems Research.

MR evaluation of breast lesions obtained by diffusion-weighted imaging with background body signal suppression (DWIBS) and correlations with histological findings.

Michele Telegrafo, Marco Moschetta, Giuseppe Angelelli, 2014, Magnetic resonance imaging.

Breast MRI background parenchymal enhancement (BPE) correlates with the risk of breast cancer.

Michele Telegrafo, Marco Moschetta, Giuseppe Angelelli, 2016, Magnetic resonance imaging.